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position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant to racial
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757
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The Department of Politics at Princeton University seeks applicants for a postdoctoral research associate in the fields of formal theory and international relations. The term of appointment is for
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contributions and expertise *Names and contact information for three references PhD is expected by the start date. Appointments are for one year, with the possibility of renewal based on continued funding and
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applications to alternative fuel design and atmospheric chemistry. The successful candidate will be expected to assist with the commissioning of a new shock tube facility and will conduct fundamental
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: 272540358 Position: Postdoctoral Research Associate Description: The Daw lab at the Princeton Neuroscience Institute is looking for a highly motivated postdoctoral research associate or more senior researcher
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of laminar/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH
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position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant to racial
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technical writing skills is essential (preprints are welcome). Candidates must have (or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering
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of epistemic values in scientific practice, or the expression of values in collective behaviors (e.g., in online social networks). The proposed research is expected to yield both theoretical and empirical